2026/04/23
Reference Number
D_A003_
Description
Business Problem Definition and Use Case Development
Job Summary
- Type: full-time
- Location: Ezulwini
- Category: Data & Analytics
- Closing Date: 2026-05-13
Key Responsibilities
- Conduct structured engagements (workshops, interviews, document reviews) with operational divisions to identify strategic, compliance, and performance challenges requiring analytics, BI, or automated decision support
- Analyse existing processes, policies, performance reports, and system outputs to identify decision bottlenecks, inefficiencies, and risk areas suitable for advanced analytics or risk-based automation
- Translate business questions into clearly scoped analytics and BI problem statements, defining objectives, assumptions, constraints, dependencies, and intended decisions
- Define business logic, success measures, and operational outcomes required to guide data engineering, analytics modelling, and BI development
- Develop structured analytics and BI use cases outlining business context, expected value, success measures, operational impact, and system integration considerations
- Engage Data Platform & Integration Specialist to confirm platform constraints, integration feasibility, access controls, and governance requirements for proposed use cases
- Prioritise use cases in collaboration with the Director: Data & Analytics, considering value, feasibility, data readiness, and implementation complexity
- Ensure alignment with ERS strategic objectives, compliance mandates, operational priorities, and ERS Data Strategy.
- Work with Data Scientist to define and validate analytical intent, modelling objectives, assumptions, risk indicators, and success criteria before and during model development
- Collaborate with BI Analyst to translate analytical and risk outputs into decision-focused dashboards, reports, and performance views
- Engage Data Engineer to confirm data definitions, transformations, and data quality requirements necessary to support analytics and BI use cases
- Work with Data Platform & Integration Specialist to ensure analytics and risk-engine outputs can be operationalised within approved platforms, integrated with source and downstream systems, and aligned with access, security, and governance controls
- Validate analytical logic, model outputs, and BI products against business context, operational constraints, and policy requirements prior to deployment
- Embed business rules, policy intent, and operational context into analytics and AI products, including the risk engine, ensuring risk scores, thresholds, and outputs are explainable, actionable, and operationally usable
- Act as the primary business validator of analytics outputs before operational adoption
- Design KPIs, thresholds, and targets informed by analytics, trends, and policy objectives
- Define decision rules and escalation logic translating analytics into operational actions
- Support integration of analytics outputs into planning, audit, compliance, and debt management workflows
- Ensure performance frameworks are measurable, auditable, and governance-compliant
- Monitor BI outputs over time to ensure ongoing accuracy, relevance, and alignment with business needs
- Translate business policies, operational practices, and compliance strategies into decision rules, thresholds, and logic used within analytics products such as risk engines, prioritisation models, and intervention frameworks.
- Act as liaison between business units and Data & Analytics specialists
- Facilitate structured interpretation sessions to explain analytical results, limitations, and implications
- Support preparation of analytics outputs for Management
- Periodically review implemented use cases for effectiveness and relevance
- Identify opportunities to refine KPIs, assumptions, and decision logic
- Contribute business insight to ERS Data Strategy and analytics governance initiatives
Requirements
- Minimum: Bachelor’s Degree in Economics, Statistics, Business Analytics, Operations Research, Public Policy, or a related discipline
- Strong background in performance management, strategic analysis, business process analysis, and data analysis and reporting.
- Advantageous: Postgraduate qualification in Business Analytics, Economics, Strategy, or Public Administration
- Exposure to analytics-enabled, compliance, or regulatory environments
- Project management experience or exposure
- Minimum: At least two (2) years’ experience in business analysis, strategy, planning, performance management, or analytics-enabled decision support
- Proven experience translating business problems into analytical or reporting requirements
- Experience defining KPIs, performance frameworks, and decision-support metrics
- Advantageous: Experience supporting business operations, analytics and reporting functions in a revenue administration, regulatory, or compliance-driven environments
- Skills: Critical and analytical thinking
- Skills: Business problem structuring and analytical reasoning
- Skills: Performance measurement and KPI design
- Skills: Interpretation and communication of analytical insights
- Skills: Presentation and communication of insights
- Skills: Collaboration and stakeholder engagement
- Knowledge: Business processes, operational policy interpretation, and analytics-enabled risk management
- Knowledge: Analytics, BI, and decision-support frameworks, including risk engines and prioritisation models
- Knowledge: Data quality, validation, explainability, and governance standards
- Behaviours (Attributes): Analytical and detailed-oriented
- Behaviours (Attributes): Collaborative and facilitative
- Behaviours (Attributes): Innovative and solutions-driven
- Behaviours (Attributes): Self-motivated and proactive
How to Apply
REF Code: D_A003_
About the Company
The Eswatini Revenue Service (ERS) is a semi-autonomous agency dedicated to revenue administration within Eswatini. Established through the Revenue Authority Act No. 1 of 2008, the ERS plays a crucial role in managing the country's tax and non-tax revenues. Its primary mandate involves ensuring compliance with revenue laws and facilitating efficient collection processes. As a key government institution, it supports Eswatini's economic stability and development through effective revenue generation.
Eswatini's semi-autonomous agency for revenue administration.
Website: https://www.ers.org.sz/
Frequently Asked Questions
What qualifications are typically required for a Data Analyst role at ERS in Eswatini?
A Bachelor's degree in a quantitative field like Statistics, Computer Science, Economics, or Mathematics is usually essential. Employers often look for candidates with strong analytical skills and proficiency in data analysis tools like SQL, Excel, and statistical software. Some roles may also benefit from certifications in data science or business intelligence.
What does a Data Analyst typically do on a day-to-day basis at ERS?
Daily tasks often involve collecting, cleaning, and interpreting large datasets related to revenue and tax operations. You would be expected to develop reports and dashboards, identify trends, and provide insights to support data-driven decision-making within the organization. Collaboration with various departments to understand their data needs and present findings clearly is also a key responsibility.
What is the work culture like at the Eswatini Revenue Service, and what are the general expectations for employees?
While specific cultures vary, public sector entities in Eswatini typically emphasize professionalism, adherence to regulations, and a structured work environment. Employees are generally expected to be diligent, ethical, and committed to public service, contributing to the nation's economic stability. There's often a focus on teamwork and continuous learning to adapt to evolving technological and policy landscapes.
What are the realistic career progression paths for a Data Analyst within an organization like ERS in Eswatini?
A Data Analyst can progress to Senior Data Analyst, Lead Data Analyst, or even Data Scientist roles with accumulated experience and further specialization. Opportunities might also extend to Business Intelligence Specialist, Database Administrator, or management positions within data analytics departments. Continuous professional development and acquiring advanced technical skills are crucial for upward mobility.
What typical benefits can a Data Analyst expect, such as leave, medical aid, or pension, in Eswatini's public sector?
Employees in Eswatini's public sector generally receive comprehensive benefits packages, including defined annual leave days and sick leave entitlements. Access to medical aid schemes for the employee and sometimes dependents is common, along with contributions to a pension fund. These benefits aim to provide stability and support for employees' long-term well-being.
How should I apply for this role, and what qualities or skills are Eswatini employers, particularly ERS, looking for in a Data Analyst?
Applications usually involve submitting a detailed CV and cover letter tailored to the specific job description, often through online portals or direct submission. Eswatini employers seek candidates with strong analytical and problem-solving skills, attention to detail, and excellent communication abilities to convey complex data insights. Demonstrating proficiency in relevant software, a proactive attitude, and a commitment to continuous learning are highly valued.